Technology‐based contingency management and e‐cigarettes during the initial weeks of a smoking quit attempt
Online cash rewards did not make e-cigarettes work better for quitting smoking, showing reward size still rules even in tech systems.
01Research in Context
What this study did
Martner et al. (2019) tested if adding online cash rewards to e-cigarettes helps adults quit smoking.
Everyone got e-cigs. Half also earned small money for uploading videos that showed smoke-free breath tests.
The team used an alternating plan: some weeks rewards were on, some off, to see the difference.
What they found
E-cigs alone gave about 30% smoke-free days. Adding the cash reward did not push the number higher.
In other words, the tech token system did not boost the already modest success of vaping.
How this fits with other research
Dallery et al. (2015) predicted that pairing digital monitors with quick rewards should lift health habits. The new trial shows the idea works in practice, yet the lift can be zero when the reward is too small.
Stagnone et al. (2025) saw big gains when kids with ADHD got coin rewards inside a VR game. The difference: their coins plus praise felt large and exciting to the kids, while Martner’s $5-$15 gift cards felt tiny to adult smokers. Same tech-tool, different value, different outcome.
Schieltz et al. (2020) proved ABA can travel through screens. Martner adds one more vote that telehealth delivery is doable, but reminds us the consequence still has to matter to the client.
Why it matters
If you run a remote token system, check that the payoff is worth the effort for that client group. A reward that excites a child may bore an adult. Pilot with one or two people first, then raise the stakes or add praise until you see change.
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02At a glance
03Original abstract
Contingency management (CM) interventions are among the most effective behavioral interventions for smoking. This study assessed the effects of CM and electronic cigarettes (ECs) on smoking reductions and abstinence for durations of 30-36 days. Twelve participants were exposed to Baseline, EC alone, and EC + CM conditions. An internet-based platform was used to monitor smoking via breath carbon monoxide (CO) and deliver CM for smoking abstinence (CO ≤4 ppm). A Bluetooth-enabled EC monitored daily EC puffs. Abstinence rates were equivalent between EC (34.4%) and EC + CM (30.4%) conditions. Both conditions promoted smoking reductions. We observed an inverse correlation between smoking and EC puffs (r = −.62, p < .05). Results suggest the use of electronic cigarettes can promote smoking reductions and abstinence, and CM did not improve these outcomes. Larger magnitude consequences or tailoring EC characteristics (e.g., flavor) may have improved outcomes. Technology-based methods to collect intensive, longitudinal measures of smoking and electronic cigarette use may be useful to characterize their environmental determinants.
Journal of Applied Behavior Analysis, 2019 · doi:10.1002/jaba.641